mindspore.ops.eye

mindspore.ops.eye(n, m=None, dtype=None)[source]

Creates a tensor with ones on the diagonal and zeros in the rest.

Note

Combines ReverseV2 operator to get an anti-diagonal Tensor, but ReverseV2 only supports Ascend and GPU platforms currently.

Parameters

n (int) – The number of rows of returned tensor. Constant value only.
m (int) – The number of columns of returned tensor. Constant value only. Default: None , if None , the number of columns is as the same as n.
dtype (mindspore.dtype) – MindSpore’s dtype, the data type of the returned tensor. The data type can be bool or Number. Default: None , the data type of the returned tensor is mindspore.float32.

Returns

Tensor, a tensor with ones on the diagonal and the rest of elements are zero. The shape of output depends on the user’s Inputs n and m. And the data type depends on Inputs dtype.

Raises

TypeError – If m or n is not an int.
ValueError – If m or n is less than 0.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import ops
>>> output = ops.eye(2, 2, mindspore.int32)
>>> print(output)
[[1 0]
 [0 1]]
>>> print(output.dtype)
Int32
>>> output = ops.eye(1, 2, mindspore.float64)
>>> print(output)
[[1. 0.]]
>>> print(output.dtype)
Float64
>>> output = ops.eye(2, dtype=mindspore.int32)
>>> print(output)
[[1 0]
 [0 1]]
>>> print(output.dtype)
Int32
>>> output = ops.eye(2)
>>> print(output)
[[1. 0.]
 [0. 1.]]
>>> print(output.dtype)
Float32